A gear fault diagnosis method based on improved accommodative random weighting algorithm and BB-1D-TP-Reference-Cited by-同舟云学术

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A gear fault diagnosis method based on improved accommodative random weighting algorithm and BB-1D-TP

Published:2022-05 Issue: Volume:195 Page:111169
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Meng Zong,Huo Hanbing,Pan Zuozhou,Cao Lixiao,Li Jimeng,Fan Fengjie

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference26 articles.

1. Hammami, M., Fernandes, Torque loss in FZG-A10 gears lubricated with axle oils. Tribology International 131 (2019) 112-127. https://doi.org/10.1016/j.triboint.2018.10.017.

2. Fault diagnosis of planetary gearbox using multi-criteria feature selection and heterogeneous ensemble learning classification;Wang;Measurement,2021

3. Multi-sensor data fusion and parallel factor analysis reveals kinetics of wood weathering;Sandak;Talanta,2021

4. Research on gear fault degree recognition method based on multi sensor fusion;Chen;IOP Conf. Ser.: Mater. Sci. Eng.,2020

5. A novel Kalman filter for combining outputs of MEMS gyroscope array;Xue;Measurement,2012

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